Hopfield Neural Network-Based Average Current Mode Control of Synchronous SEPIC Converter-Reference-Cited by-同舟云学术

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Hopfield Neural Network-Based Average Current Mode Control of Synchronous SEPIC Converter

Published:2021-05-19 Issue: Volume: Page:1-19
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Sundaramoorthy S.¹^ORCID,Umamaheswari M.G.¹^ORCID,Marimuthu G.²^ORCID,Lekshmisree B.¹^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu 602105, India

2. Department of Electronics and Instrumentation Engineering, RMK Engineering College, Kavaraipettai, Tamil Nadu 601206, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2021.1926344

Reference30 articles.

1. Study of rectifier diode loss model of the Flyback converter

2. Design of smart power synchronous rectifier

3. Synchronous Rectification for LLC Resonant Converter: An Overview

4. A Novel Adaptive Synchronous Rectification System for Low Output Voltage Isolated Converters

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1. Industrial technology network security measurement in international trade under discrete hopfield neural network;Journal of Computational Methods in Sciences and Engineering;2024-05-10

2. Optimized virtual impedance solar restoration droop emulated SEPIC controller under low irradiation;Engineering Research Express;2024-05-07

3. Application of generalized hopfield neural network for the steady state analysis of self-excited induction generators;Applied Soft Computing;2024-01

4. Design of DC-DC Buck Converter for Battery Charging Application Using Neural Network Based CC and CV Method;2023 6th International Conference on Recent Trends in Advance Computing (ICRTAC);2023-12-14

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